Think, explore, & write about what the co-evolutionary interaction between newts & snakes with different genetic architectures (GAs, combination of mutation rate & mutation effect size) can lead to. This markdown is investigating
I created a simulation study to observe the co-evolutionary outcome of the newt-snake interaction with different genetic architectures (GAs) in a spatial setting. I hypothesized that we would see an interaction (co-evolutionary arms race) between newt and snake phenotype under some GA combinations when newts and snakes were evolving over geographical space. Each GA is paired with another GA creating 16 combinations.
GA1 experiment values:
Landscape: A tall map!: 35*4 H, 35 W
I tested different interaction rates:
Each GA combination, trial, and interaction rate has its own msprime simulation.
Sometimes a higher interaction rate will lead to a species extinction, so ending values are approximate
## All cor, lit, and grid files exist!
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## [1] 0 10 8 6 5 4 2 1
generations
In order to understand how spatial correlations where changing with time I took 5,000 generation time slices to look at all four trials correlation values. Each color is a different trial per GA combination. The histogram values are stacked. This section only looks at the 5 sections.
Next, we will examine three randomly chosen plots from both the 5 section and 7 section experiment. Time (in generations) in on the x-axis and both mean phenotype and phenotype spatial correlation in on the y-axis. Newt whole population mean phenotype is red, while snake mean phenotype is blue. The pink line is the phenotype spatial correlation.
##Grid {.tabset}
## [1] -0.1749074
## [1] -0.03684979
## [1] -0.03716862
## [1] 0.417992
## [1] -0.07059617
## [1] 0.06019905
## [1] 0.09767028
## [1] -0.5766155
## [1] -0.2795285
## [1] -0.6610814
## [1] 0.1191618
## [1] 0.6793459
## [1] -0.08046159
## [1] 0.4143226